142 lines
5.5 KiB
TOML
142 lines
5.5 KiB
TOML
name = "demo_schema"
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base_seed = "correct horse battery staple"
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# the most basic spec with no auto generating of agents, measurements, tags or fields
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[[agents]]
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name = "demo"
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sampling_interval = 10
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[[agents.measurements]]
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name = "some_measurement"
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[[agents.measurements.tags]]
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name = "foo"
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value = "bar"
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[[agents.measurements.fields]]
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name = "field1"
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# it's a boolean field, the true means to generate the boolean randomly with equal probability
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bool = true
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[[agents.measurements.fields]]
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name = "field2"
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# it's an i64 field, values will be generated using a pseudo random number generator
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# with a set seed and values in the range [3, 200). Setting it to [3, 3] or [3, 4] will
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# make the value always be 3
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i64_range = [3, 200]
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[[agents.measurements.fields]]
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name = "field3"
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# it's an i64 field, values will be generated using a pseudo random number generator
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# with a set seed and values in the range in the range [1000, 5000)
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i64_range = [1000, 5000]
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# The value after each same will be incremented by the next random amount. This is
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# useful when simulating a counter.
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increment = true
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[[agents.measurements.fields]]
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name = "field4"
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# it's an f64 field, values will be generated using a pseudo random number generator
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# with a set seed with values in the range [0.0, 100.0). Setting both values to the same
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# number will make every value that number.
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f64_range = [0.0, 100.0]
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[[agents.measurements.fields]]
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name = "field5"
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# this is a string field. Parts of the string will be replaced. {{agent_name}} will be replaced
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# with the name of the agent, {{random 200}} will be replaced with a random alphanumeric string
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# of the length specified. {{format-time "%Y-%m-%d %H:%M"}} will be replaced with the time for
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# this line in the simulation (that is, the same value that this line will have for its
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# timestamp) formatted using a strftime specifier. Other patterns will be looked for based on
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# the keys in replacements.
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pattern = "{{agent_name}} foo {{level}} {{format-time \"%Y-%m-%d %H:%M\"}} {{random 200}}"
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# each key in string replacements will be replaced in the pattern with a value randomly
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# selected from the array of strings. Specify a weight as an integer greater than 1 to change
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# the probability that a given string will be selected.
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replacements = [
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{replace = "color", with = ["red", "blue", "green"]},
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{replace = "level", with = [
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["info", 800],
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["warn", 195],
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["error", 5]
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]}
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]
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[[agents]]
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name = "some-server-{{agent_id}}"
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count = 10
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sampling_interval = 22
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# Optional: every measurement (row) this agent produces will include a tag with the agent_id filled
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# in:
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# agent_name=some-server-{{agent_id}}
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name_tag_key = "agent_name"
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# Optional: these values will be rotated through so that each agent that gets created will have one.
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# e.g: the first agent will always inject region=us-west and secnod will be region=us-east, etc.
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tags = [
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{key = "region", values = ["us-west", "us-east", "dublin", "frankfurt"]},
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{key = "foo", values = ["bar", "asdf"]},
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]
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[[agents.measurements]]
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name = "few-tags-measurement-{{measurement_id}}"
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count = 20
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[[agents.measurements.tags]]
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# {{measurement_id}} will be replaced with the id of the measurement this tag is for
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name = "tag-1-{{measurement_id}}"
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value = "value-1"
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[[agents.measurements.tags]]
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name = "tag-2"
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# {{cardinality}} will be replaced with the cardinality counter
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value = "value-{{cardinality}}"
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# Optional: This means each collection on this agent will have 4 rows of this measurement with
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# unique values for this tag. This could be for things like org_id as a tag or for
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# something like cpu measurements in Telegraf where you have a separate line for each cpu:
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# cpu,cpu=cpu-total,host=foo usage_user=23.2,usage_system=33.3
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# cpu,cpu=cpu-0,host=foo usage_user=22.2,usage_system=34.5
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# cpu,cpu=cpu-1,host=foo usage_user=11.2,usage_system=56.5
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cardinality = 4
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[[agents.measurements.tags]]
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name = "tag-3"
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# {{counter}} will be replaced with the increment counter
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value = "value-{{counter}}"
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# Optional: This means that {{counter}} will increase by 1 after every 10 samples that are
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# pulled.
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# This option simulates temporal tag values like process IDs or container IDs in tags
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increment_every = 10
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[[agents.measurements.tags]]
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name = "tag-4"
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# {{counter}} will be replaced with the increment counter and {{cardinality}} will be replaced
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# with the cardinality counter
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value = "value-{{counter}}-{{cardinality}}"
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# Optional: This means that {{counter}} will increment by 1 after every 100 samples that are
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# pulled.
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# This option simulates temporal tag values like process IDs or container IDs in tags
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increment_every = 100
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# when paired with cardinality, this can simulate having many containers running on a single
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# host
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cardinality = 10
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[[agents.measurements.fields]]
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name = "field-2"
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bool = true
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# This example shows generating 10 different measurements that each have their own set of
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# tags (10 of them) and each have their own set of fields (4 of them)
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[[agents.measurements]]
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name = "mid-tags-measurement-{{measurement_id}}"
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count = 10
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[[agents.measurements.tags]]
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name = "tag-{{tag_id}}-{{measurement_id}}"
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count = 10
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value = "value-{{cardinality}}"
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cardinality = 3
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[[agents.measurements.fields]]
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name = "field-1"
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bool = true
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